Yogesh A. Kulkarni
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Plant Science top 5%
- Physiology top 5%
- Complementary and alternative medicine top 1%
- Co-authors
- Ankit P. LaddhaManisha J. OzaSachin V. SuryavanshiSarika WairkarAnil Bhanudas GaikwadShrikant R. MulayNisha SharmaVeeranjaneyulu Addepalli
- Topics
- Natural Antidiabetic Agents Studies (39 papers)Advanced Glycation End Products research (21 papers)Phytochemicals and Antioxidant Activities (15 papers)
- Partner nations
- IndiaMalaysiaUnited States
In The Last Decade
Yogesh A. Kulkarni
125 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 152
- Molecular Biology 973
- Endocrinology, Diabetes and Metabolism 587
- Plant Science 411
- Physiology 408
- Complementary and alternative medicine 379
Countries citing papers authored by Yogesh A. Kulkarni
This map shows the geographic impact of Yogesh A. Kulkarni's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yogesh A. Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yogesh A. Kulkarni more than expected).
Fields of papers citing papers by Yogesh A. Kulkarni
This network shows the impact of papers produced by Yogesh A. Kulkarni. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yogesh A. Kulkarni. The network helps show where Yogesh A. Kulkarni may publish in the future.
Co-authorship network of co-authors of Yogesh A. Kulkarni
This figure shows the co-authorship network connecting the top 25 collaborators of Yogesh A. Kulkarni. A scholar is included among the top collaborators of Yogesh A. Kulkarni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yogesh A. Kulkarni. Yogesh A. Kulkarni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 14 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 16 | |
| 14 | 26 | |
| 15 | 17 | |
| 16 | 21 | |
| 17 | 64 | |
| 18 | 20 | |
| 19 | 1 | |
| 20 | Pharmacognostical studies of leaves of Machilus macrantha nees | 2 |
About Yogesh A. Kulkarni
Yogesh A. Kulkarni is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Complementary and alternative medicine, having authored 135 papers that have together received 3.2k indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (39 papers), Advanced Glycation End Products research (21 papers) and Phytochemicals and Antioxidant Activities (15 papers). The work is most often cited by research in Biochemistry (276 citations), Complementary and alternative medicine (379 citations) and Clinical Biochemistry (273 citations). Yogesh A. Kulkarni has collaborated with scholars based in India, Malaysia and United States. Frequent co-authors include Ankit P. Laddha, Manisha J. Oza, Sachin V. Suryavanshi, Sarika Wairkar, Anil Bhanudas Gaikwad, Shrikant R. Mulay, Nisha Sharma, Veeranjaneyulu Addepalli, Himanshu Sankrityayan and Pravin Shende. Their work appears in journals such as Brain Research, The FASEB Journal and Free Radical Biology and Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.